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"Sebagai suatu bangsa yang besar, Indonesia tentu barus memiliki strategi untuk menjamin ketabanan energi nasional. Saat ini, konsumsi energi di Indonesia didominasi oleh penggunaan bahan bakar minyak (BBM). BBM ini digunakan oleh seluruh elemen dalam masyarakat dalam kehidupan sehari­-hari. Tingginya konsumsi ini juga membuat pemerintah terpaksa melakukan impor untuk memenuhi kebutuhan masyarakat. Hal ini tentu sangat mengkhawatirkan di tengah menipisnya cadangan BBM yang tersisa di Indonesia. Salah satu sektor yang membutuhkan konsumsi BBM di Indonesia adalah sektor transportasi. Di pulau Batam, meningkatnya pertumbuhan kendaraan juga semakin meningkatkan konsumsi BBM setiap tahunnya. Maka diperlukan suatu terobosan untuk membantu menurunkan konsumsi BBM seperti dengan penggunaan gas bumi sebagai alternatif bahan bakar untuk sektor transportasi. Salah satu pemanfaatan gas bumi sebagai alternatif bahan bakar ialah CNG (Compressed Natural Gas). Alokasi pemanfaatan CNG ini telah diatur dalam Peraturan Menteri No.l9 Tahun 2010. Namun, alokasi pemanfaatan CNG ini masih terkendala dengan minimnya infrastruktur di pulau Batam. Mininmya infrastruktur ini menyebabkan sistern distribusi CNG tidak dapat menjangkau dan memenuhi seluruh kebutuhan bahan bakar di pulau Batam. Untuk itu, perlu dikembangkanlah sistem pendistribusian CNG melalui penentuan metode suplai CNG, lokasi serta jumlah stasiun pengisian CNG untuk menjangkau seluruh potensi konsumen CNG dan meminimalisir harga jual CNG di tangan konsumen. Penelitian ini menyimpulkan bahwa metode distribusi CNG yang sesuai adalah mother & daughter system dengan I mother station yang melayani 5 daughter station. Sistem seperti ini akan menghasilkan harga jual kesetaraan CNG di pulau Batam sebesar Rp. 2.321,-­/lsp untuk metode pendanaan subsidi dan Rp. 3.426,-/lsp untuk metode pendanaan business as usual.

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As a great nation Indonesia needs to have a strategy to ensure national energy security. Currently, the energy consumption in Indonesia is dominated by the use of fuel oil BBM. This fuel is used by all elements of society in everyday life. The high and rising consumption of fuel oil also makes the government resorted to import them to meet the needs of the community. This is very worrying in the middle of the depletion of oil reserves left in Indonesia. One sector that requires fuel consumption in Indonesia is the transportation sector. On Batam Island, increased growth of economic also annually increases the vehicle 39's fuel consumption. A breakthrough to help lower fuel consumption as the use of natural gas as an alternative fuel for the transportation sector came into urgency. One of the utilization of natural gas as an alternative fuel is CNG (Compressed Natural Gas). The use of CNG has been allocated in the Ministry Policy Number 19 on 2010. However, the utilization of CNG allocation is still hampered by the lack of infrastructure on Batam island. This lack of infrastructure leads to problem onto the CNG distribution system where can not reach out and meet all the fuel demand in Batam Island. As a solution, a CNG distribution system is developed through the method of determining the supply methods of CNG, the location and number of CNG, filling stations for CNG, reach all potential consumers and minimize the selling price of CNG. This study concludes that the method of distribution is the appropriate with the current infrastructure condition is CNG mother and daughter station system with 1 mother daughter station that serves 5 daughter stations. Such system will result in the selling price of CNG in Batam Island of Rp. 2.321,-/lsp for subsidized funding method and Rp. 3.426.-/lsp for business as usual funding method."

"Metode House of Risk (HOR) adalah integrasi antara dua metode yaitu metode Failure Mode and Effect Analysis (FMEA) dan House of Quality (HOQ) yang berfokus pada penentuan sumber risiko serta strategi aksi mitigasi terhadap sumber risiko yang telah ditetapkan melalui proses eliminasi. Metode House of Risk (HOR) banyak digunakan untuk melakukan penanganan terhadap permasalahan yang terjadi di berbagai industri tak terkecuali industri sektor perikanan. Berbeda dengan industri manufaktur, Hasil dari industri perikanan memiliki sifat-sifat mutu yang heterogen, mudah rusak, jumlah dan volume yang tidak dapat dipastikan hasilnya. Udang merupakan komoditas hewan ternak penghasil sumber protein yang bermanfaat bagi seluruh masyarakat indonesia. Pemerintah terus mendukung pengembangan ternak udang karena siklus udang yang lebih cepat, sehingga dapat memutar perekonomian rakyat lebih cepat. Pertumbuhan industri budidaya perikanan udang tentunya berbanding lurus dengan munculnya risiko pada proses rantai pasoknya. Setelah melakukan pengolahan data dengan House of Risk (HOR) fase 1 maka diperoleh 13 kejadian risiko dan 13 penyebab risiko. Berdasarkan perhitungan Pareto, terdapat 7 agen risiko yang mencakup 80% dari total Aggregate Risk Potential (ARP) dan dipilih sebagai prioritas mitigasi. Pada pengolahan data House of Risk fase 2 didapatkan 6 strategi aksi mitigasi risiko yang diperingkatkan berdasarkan nilai Effectiveness to Difficulty Ratio of Action (ETDk).

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The House of Risk (HOR) method is an integration between two methods, namely the Failure Mode and Effect Analysis (FMEA) and House of Quality (HOQ) methods which focus on determining risk sources and mitigation action strategies for risk sources that have been determined through an elimination process. The House of Risk (HOR) method is widely used to handle problems that occur in various industries, including the fisheries sector. Unlike the manufacturing industry, the results of the fisheries industry have heterogeneous quality characteristics, are easily damaged, the number and volume of which cannot be ascertained. Shrimp is a livestock commodity that produces a source of protein that is beneficial for all Indonesian people. The government continues to support the development of shrimp livestock because the shrimp cycle is faster, so it can turn the people's economy faster. The growth of the shrimp aquaculture industry is of course directly proportional to the emergence of risks in the supply chain process. After processing the data with the House of Risk (HOR) phase 1, 13 risk events and 13 risk causes were obtained. Based on Pareto calculations, there are 7 risk agents that cover 80% of the total Aggregate Risk Potential (ARP) and are selected as mitigation priorities. In the House of Risk phase 2 data processing, 6 risk mitigation action strategies were obtained and ranked based on the Effectiveness to Difficulty Ratio of Action (ETDk) value."